HUMAN–AI COLLABORATION IN REVIVING FOLK TRADITIONS

The transformative aspects of human-AI cooperation in people preservation and revival of folk tradition, including music, visual art, and storytelling, are addressed in this paper. As more creative industries embrace the role of artificial intelligence, this paper explores the ways in which AI tools can support human knowledge to maintain cultural heritage and at the same time guarantee authenticity and community involvement. The study relies on qualitative and mixed-method research, such as case studies of the restoration of folk songs with the help of AI, the models of generative art, and the use of natural language processing (NLP) in folk stories. By examining online archives, discussing with cultural practitioners and analyzing AI-generated results, this study will describe changing trends in human-machine co-creation. The results indicate that AI has an important role in documentation, restoration, and creative reinterpretation of folk traditions to increase the accessibility and engagement of younger audiences. Nevertheless, there are still struggles on how to preserve cultural authenticity, ethical use of data and communal ownership. The research emphasizes that the human-AI partnership is best served where it is controlled by the local knowledge and participatory models, so that the technology could serve as an enabler instead of a substitute of the conventional art. Investigating the advantages and the drawbacks of AI in the cultural heritage, the study highlights the importance of the balanced and encompassing attitude toward the technological introduction.